Data set and model code on the optimal operating state of a negative emission polygeneration system

Kathleen B. Aviso, Raymond R. Tan, Dominic C.Y. Foo, Jui Yuan Lee, Aristotle T. Ubando

Research output: Contribution to journalArticle

Abstract

This article contains the data set and model code for the negative emission polygeneration system described in Tan et al. (2019). The data was generated utilizing an optimization model implemented in LINGO 18.0 and includes information on the operating state of each process unit in the system. The maximum annual profit of the system was determined at different carbon footprint targets. The data set and model code can be utilized for further analysis on the interdependence between the process units of this polygeneration system, its operational and environmental performance, and the potential impact of integrating new process units into the network.

Original languageEnglish
Article number105140
JournalData in Brief
Volume29
DOIs
Publication statusPublished - 2020 Apr

All Science Journal Classification (ASJC) codes

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